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Robust Model Predictive Control

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Abstract

Model predictive control (MPC) is indisputably one of the rare modern control techniques that has significantly affected control engineering practice due to its natural ability to systematically handle constraints and optimize performance. Robust MPC is an improved form of MPC that is intrinsically robust in the face of uncertainty. The main goal of robust MPC is to devise an optimization-based control synthesis method that accounts for the intricate interactions of the uncertainty with the system, constraints, and performance criteria in a theoretically rigorous and computationally tractable way.

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Correspondence to Saša V. Raković .

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Raković, S. (2020). Robust Model Predictive Control. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_2-3

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  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_2-3

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5102-9

  • Online ISBN: 978-1-4471-5102-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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Chapter history

  1. Latest

    Robust Model Predictive Control
    Published:
    08 November 2019

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_2-3

  2. Robust Model Predictive Control
    Published:
    10 September 2019

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_2-2

  3. Original

    Robust Model-Predictive Control
    Published:
    07 March 2014

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_2-1